Inhoudsopgave:
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\u003ci\u003eResilient Cooperative Control and Optimization of Multi-Agent Systems\u003c/i\u003e addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failure and cyber attacks and consist of multiple decision-making agents that interact in a shared environment to achieve common or conflicting goals. Critical infrastructures, such as smart grids, wireless sensor network, multi-robot system, etc., are typical examples of multi-agent systems that consist of the large-scale physical processes which are monitored and controlled over a set of communication networks and computers.\u003cul\u003e\u003cli\u003ePresents solutions to different resilient cooperative control and optimization problems of multi-agent systems\u003c/li\u003e\u003cli\u003eIncludes a wealth of examples on attack-resilient consensus control, time-varying formation tracking control, distributed optimization and distributed Nash equilibrium game-seeking\u003c/li\u003e\u003cli\u003eShows, in detail, the practicalities of how to develop an attack-resilient cooperative control and optimization framework\u003c/li\u003e\u003c/ul\u003e |
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